 | Authors: Amine Heddad, Andrea Krings, Markus Brameier and Bob MacCallum, Stockholm Bioinformatics Center, Stockholm University, Sweden. |
NucPred
Fetching Q9W0T5 from www.uniprot.org...
The NucPred score for your sequence is 0.51 (see score help below)
1 MENVRFSIIENDLKWNSESDPTADVDLLLDKRSISSEANSAGVFSDEAHE 50
51 IFARQQQNQILWDLDEVKETLTESPGGKHVVDMVQSGCFLELMTDSADCN 100
101 LALICCSVFGSVENTLFLLKHYNADPNVADSRGRTPLHFACCRANAPIAK 150
151 VLLDFGADPNRWDARKEVTSLHCAASSKSVECILLLLRRKASINIGIEKR 200
201 SALHYAIDVNAVDCVEILLKYGADPNTPQVYTETPLHTASAAGFAKCVQL 250
251 LLSHNADVRSQFGEGKVTALHLAAENDYVECARLLLEHRAEVDCRNASHQ 300
301 TPLHLACLSQSIGTVDLLISYGANVNAVYRDGRTALHAAIVKQSRSLDCC 350
351 NALLKAGADVNKADNYGYTPLHIAALNEFSSCVYTFIEHGADITARTDGR 400
401 VSALSFIVRRTPEIIPKLMQKLDSSIKANDQEIGDVDCQIKLDFRLLVPS 450
451 SSMDRGETELLLSLIEVGQKRILMHPLCETFLFLKWRRIRKFFLMSLAYH 500
501 TLFVILFTFYVIWVYVRCCKKEELCVAPGYVSTIGYLVIILNLILLGKEV 550
551 FQMAHGLRGYAKYWENWLQWTIGTGVLLCVTPETVRTDDLTAVPVWQHHV 600
601 AAIVILLVWLELMMLVGRFPIFGVYVQMFTKVAVNFAKFLLAYICLLVAF 650
651 GLSFAVLFNDYPAFENITWSFLKSITMMSGELEFEDIFYGDYAVKFPVTA 700
701 HIIFLSFVLLVTVILTNLMVGLAVSDIQGLQVSATLDRLVRQAELVSRLE 750
751 SLFFSRLLRSAPTNLIQLCKRSALLRTSRDKLQFTIRPNDPRDNQLPEDI 800
801 KLNVYKLVAERRDRNQSLRRRQFENNYNIFSRSLQRQQQPLHTDFLKPEP 850
851 ATGTTKKTPQNLFHMHELLRPRSATNVPQQFRQEAEGTVQMKNQANVLSA 900
901 VLAEVQAIKTQLVDLVAKFERFSENATRKLNYSTDELCRLRQQGQSVASS 950
951 HIRRHR 956
Positively and negatively influencing subsequences are coloured according to the following scale:
(non-nuclear) negative ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||| positive (nuclear)
What does the NucPred score mean?
| You have to decide on a NucPred score threshold. Sequences which score greater than or equal to this threshold are predicted to spend some time in the nucleus. Higher thresholds yield fewer predicted nuclear proteins, but these predictions are more accurate (you can have higher confidence in them). The table below gives more details of the performance of NucPred estimated using the sequences it was trained on (by cross-validation). Another benchmark is available in the Bioinformatics 2007 paper. |
| NucPred score threshold | Specificity | Sensitivity |
| see above | fraction of proteins predicted to be nuclear that actually are nuclear | fraction of true nuclear proteins that are predicted (coverage) |
| 0.10 | 0.45 | 0.88 |
| 0.20 | 0.52 | 0.83 |
| 0.30 | 0.57 | 0.77 |
| 0.40 | 0.63 | 0.69 |
| 0.50 | 0.70 | 0.62 |
| 0.60 | 0.71 | 0.53 |
| 0.70 | 0.81 | 0.44 |
| 0.80 | 0.84 | 0.32 |
| 0.90 | 0.88 | 0.21 |
| 1.00 | 1.00 | 0.02 |
| Sequences which score >= 0.8 with NucPred and which
are predicted by PredictNLS to contain an NLS have been shown to be 93% correct with a coverage of 16%. (PredictNLS by itself is 87% correct with 26% coverage on the same data.) |
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